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Muhongfan/README.md

Hi , I am Hongfan.

Enthusiastic learner!

❤️ Small achievement after Jul

  • Finish reading 'The Complete Developer'.
  • Finish the software developer bootcamp with Brainstation.
  • Finish a capstone MLops project for the time-series forecast of energy consumption and analysis based on the energy consumption dataset.
  • Finish the MLops course and hands-on projects: AWS Kinesis, EC2, S3, LAMBDA, Prefect, Mlflow, PostgreSQL, Docker, Docker-compose, Grafana; Automation Test (Unit test/Integration test/Cloud service with localstack), Code quality check (pylint, black, isort)
  • Microsoft Azure Certification: AZ-900, AI-900.

Now

  • 🌱 I'm taking K8s + docker course on Udemy.
  • 🌟 For improving the ability on processing massive data, I am working on re-arranging my NLP project with Apach spark and Kafka.
  • 💻 I gonna continue the further study with A CLOUD GURU.
  • ✏️ Given my knowledge and skills in model design and the whole workflow for data processing to model eveluation, I plan to take courses related to the further step - model deployment and cloud related tech.
  • 📝 Sharing my learnings.

Bio

  • 🧑‍🎓 Finished Master Graduate in Computer Science (Applied Artificial Intelligence) from uOttawa focused on time-series forecasting concentrated on traffic domain.
  • 🙆‍♀️ Open to the job opportunities as ML/AIops, ML engineer, Data engineer, Data Scientist.
  • ✨ Work experience in Graph representation learning, Time-series modeling, Spatio-temporal dependency, Multi-scale modelling, deep-learning-based Model Design.
  • 📖 Project experience in NLP, Computer Vision, Drug design, Medical image processing.
  • 👨🏻‍💻 Past roles include Research assistant, Project Manager(Intern), Teaching assistant.
  • 💬 Ping me about Python, Machine Learning, MLOps, Data Engineer, PM, and of course Enthusiastic learner!.
  • 📫 Reach me: Linkedin

🌏 Doing my bit

Piggy Girls Academic Help is to offer academic assistance to girls seeking help in Python programming, basic computer systems, and mathematical modeling. My ultimate goal is to help girls with their idea, wish, and purpose in STEM if they need a helping hand and meaningful encouragement. Throughout my experience as a Teaching Assistant at university and a famale researcher in STEM area, I have noticed a trend where girls tend to give up more quickly in coding programs than boys, not because of any inherent lack of ability but, honestly, rather due to the influence of external stereotypes and negtive opinion make girls afraid to try, however, actually girls are able to make it.

By providing academic support and fostering an empowering, warm, friendly learning environment, Piggy Girls Academic Help aims to challenge these stereotypes and help girls recognize their full potential in STEM if they want to break the rules. Welcome, all the girls who need help; come and contact me. Welcome all the girls with the same willings as I join this group.

👨🏻‍💻 Skillset

pythonJavaScript DjangoDocker linux git machinelearning dpsql AWS Azure mlflow productmanagement pytorch tf

⚡ Github Stats

Show some ❤️ by starring some of the repositories!

📫 Connect With Me

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  1. Medical-images-retrieval-system Medical-images-retrieval-system Public

    CNN based Cerebral Hemorrhage CT image Image Retrieval system on Django

    Python 1

  2. Modelling-and-Sentiment-Analysis-of-Tweets-Related-to-Freedom-Convoy Modelling-and-Sentiment-Analysis-of-Tweets-Related-to-Freedom-Convoy Public

    Sentiment Analysis of Tweets on Reddit Related to Freedom Convoy

    Jupyter Notebook

  3. How-to-build-a-Graph-Based-Architecture-in-DRUG-area How-to-build-a-Graph-Based-Architecture-in-DRUG-area Public

    An invited talk for How to build a Graph-Based Architecture in DRUG area to SHJT in 2021

  4. IMAGE-PROCESSING-BASED-ON-DEEP-LEARNING IMAGE-PROCESSING-BASED-ON-DEEP-LEARNING Public

    Image Retrieval system of Traditional Chinese Painting Based on Convolutional Neural Network

    Python 1

  5. GNN4TRAFFICFLOW GNN4TRAFFICFLOW Public

    1

  6. MLops MLops Public

    Teach practical aspects of productionizing ML services — from training and experimenting to model deployment and monitoring.

    Jupyter Notebook 4 1